code: def test_numpy_tensordot(
      dtype_values_and_axes,
      frontend,
      test_flags,
      fn_tree,
      gt_fn_tree,
      backend_fw,
  ):
      dtype, a, b, axes = dtype_values_and_axes
      helpers.test_frontend_function(
          input_dtypes=dtype,
          backend_to_test=backend_fw,
          frontend=frontend,
          test_flags=test_flags,
          fn_tree=fn_tree,
          gt_fn_tree=gt_fn_tree,
          a=a,
          b=b,
          axes=axes,
      )
  
file_path: ivy/ivy_tests/test_ivy/test_frontends/test_numpy/test_linalg/test_matrix_and_vector_products.py
imports: from hypothesis import strategies
  import numpy
  import ivy_tests.test_ivy.helpers
  import ivy_tests.test_ivy.test_frontends.test_numpy.helpers
  from ivy_tests.test_ivy.helpers import handle_frontend_test
  from ivy_tests.test_ivy.test_functional.test_core.test_linalg import _get_first_matrix_and_dtype, _get_second_matrix_and_dtype, _get_dtype_value1_value2_axis_for_tensordot
  from ivy_tests.test_ivy.test_functional.test_experimental.test_core.test_linalg import _generate_multi_dot_dtype_and_arrays
label_desc: Use image node_id 11 for calling a global function with example usage: test_numpy_tensordot(dtype_values_and_axes, frontend, test_flags, fn_tree, gt_fn_tree, backend_fw) without return types